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Pricing a Bestseller: Sales and Visibility in the Marketplace for Mobile Apps

机译:为畅销书定价:移动应用市场中的销售和可见性

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摘要

The growth of mobile applications on smartphones and tablets (" apps") ranks as one of the most astonishing technological developments in recent past. Over 700,000 apps are available for immediate download from app markets (e.g., App Store and Google Play). These marketplaces are a significant disruptive change in the way content is created and consumed. On the supply side, they provide content creators direct, instantaneous, and popular distribution systems where they can implement their own marketing and pricing policies, cutting out middlemen. Taking a combined data-driven and structural analysis approach, this paper focuses on the relationship between pricing decisions and marketplace visibility. Our aim is to empower content creators by offering strategic guidance on how to leverage the marketplaces' flexibility. Specifically, the market platforms feature "top-ranked" charts that list apps by number of downloads. A high position in these charts is followed by a remarkable boost in demand, according to industry sources. We call the effect of top-rank position on future sales an indirect effect. First, we postulate a reduced form model to estimate the magnitude of this indirect effect. Our results show that it is statistically significant and substantial. Second, we study app pricing decisions in a model that incorporates our earlier findings. Surprisingly, we find that accounting for the indirect effect may give rise to optimal price cycles, where the seller alternates between a high price to boost revenue and a low one to enhance visibility. We find evidence supporting this pricing behavior in practice.
机译:智能手机和平板电脑上的移动应用程序(以下简称“应用程序”)的增长是最近最令人惊讶的技术发展之一。超过700,000个应用程序可供立即从应用程序市场(例如App Store和Google Play)下载。这些市场是内容创建和消费方式的重大颠覆性变化。在供应方面,他们为内容创建者提供直接,即时和流行的分发系统,在这些系统中,他们可以实施自己的营销和定价政策,从而消除中间商。本文采用数据驱动和结构分析相结合的方法,重点研究定价决策与市场可见性之间的关系。我们的目标是通过提供有关如何利用市场灵活性的战略指导来赋予内容创建者权力。具体来说,市场平台具有“排名最高”的图表,该图表按下载次数列出了应用程序。根据行业消息来源,这些图表中的高位紧随其后的是需求的显着增长。我们将排名靠前的影响称为未来销售的间接影响。首先,我们假设一个简化形式的模型来估计这种间接影响的大小。我们的结果表明,它具有统计学意义和实质性。其次,我们在一个模型中研究应用程序定价决策,该模型结合了我们先前的发现。出乎意料的是,我们发现,考虑到间接影响,可能会导致最佳价格周期,即卖方在高价格以提高收入,在低价格以提高知名度之间交替。我们发现在实践中支持这种定价行为的证据。

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  • 来源
    《Performance evaluation review》 |2014年第4期|51-51|共1页
  • 作者

    Bar Ifrach; Rameh Johari;

  • 作者单位

    Management Science & Engineering, Stanford University;

    Management Science & Engineering, Stanford University;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
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